Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50JNL_2015-11-14_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KGP_2016-01-09_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50JPN_2016-01-20_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50JLN_2016-04-02_final.stac-item
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_50JKN_2016-12-21_final
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50JLP_2017-02-26_final
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50JNM_2017-05-04_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50HNH_2017-06-13_final
2017-08-28 12:04:42	ga_s2am_ard_3-2-1_49JGN_2017-08-28_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KHR_2017-09-30_final
2017-10-04 11:51:53	ga_s2am_ard_3-2-1_50JKP_2017-10-04_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50JLM_2017-10-24_final
2017-11-23 11:56:04	ga_s2am_ard_3-2-1_50JMM_2017-11-23_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49KHP_2017-11-26_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49JGN_2018-03-09_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50JPM_2018-03-10_final
2018-04-19 11:46:08	ga_s2am_ard_3-2-1_50JPM_2018-04-19_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_50JLT_2018-05-15_final
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_50HQJ_2018-05-16_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HQJ_2018-05-19_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49KGP_2018-08-23_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HPK_2018-09-03_final
2018-12-21 12:03:36	ga_s2am_ard_3-2-1_49KHS_2018-12-21_final.stac-item
2018-12-25 11:46:15	ga_s2am_ard_3-2-1_50JNL_2018-12-25_final
2019-01-04 11:46:20	ga_s2am_ard_3-2-1_50JML_2019-01-04_final
2019-01-17 11:56:04	ga_s2am_ard_3-2-1_50JMM_2019-01-17_final
2019-01-27 11:56:04	ga_s2am_ard_3-2-1_50JMM_2019-01-27_final
2019-02-10 11:36:49	ga_s2am_ard_3-2-1_50HPJ_2019-02-10_final
2019-02-13 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2019-02-13_final
2019-03-15 11:46:22	ga_s2am_ard_3-2-1_50JML_2019-03-15_final
2019-05-13 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2019-05-13_final
2019-05-17 11:56:00	ga_s2am_ard_3-2-1_50JLN_2019-05-17_final
2019-05-17 11:56:26	ga_s2am_ard_3-2-1_50JML_2019-05-17_final
2019-05-27 11:57:12	ga_s2am_ard_3-2-1_50HLH_2019-05-27_final
2019-06-12 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2019-06-12_final
2019-07-16 11:57:14	ga_s2am_ard_3-2-1_50HLH_2019-07-16_final
2019-08-19 11:36:29	ga_s2am_ard_3-2-1_50JPL_2019-08-19_final
2019-09-07 12:04:42	ga_s2am_ard_3-2-1_49JHN_2019-09-07_final
2019-09-07 12:04:45	ga_s2am_ard_3-2-1_49JGN_2019-09-07_final
2019-09-30 12:14:14	ga_s2am_ard_3-2-1_49KGQ_2019-09-30_final
2019-10-04 11:55:22	ga_s2am_ard_3-2-1_50JNQ_2019-10-04_final
2019-10-07 12:05:43	ga_s2am_ard_3-2-1_50JKP_2019-10-07_final
2019-12-06 12:04:25	ga_s2am_ard_3-2-1_49KHP_2019-12-06_final
2019-12-09 12:13:55	ga_s2am_ard_3-2-1_49KGR_2019-12-09_final
2019-12-23 11:54:27	ga_s2am_ard_3-2-1_50JPT_2019-12-23_final
2019-12-26 12:05:32	ga_s2am_ard_3-2-1_50JLP_2019-12-26_final
2019-12-30 11:46:21	ga_s2am_ard_3-2-1_50JML_2019-12-30_final
2020-01-15 12:04:40	ga_s2am_ard_3-2-1_49JGN_2020-01-15_final
2020-01-26 11:36:56	ga_s2am_ard_3-2-1_50HQH_2020-01-26_final
2020-02-17 12:14:35	ga_s2am_ard_3-2-1_49JGN_2020-02-17_final
2020-03-09 11:47:05	ga_s2am_ard_3-2-1_50HLH_2020-03-09_final
2020-04-08 11:46:20	ga_s2am_ard_3-2-1_50JNL_2020-04-08_final
2020-05-01 11:56:28	ga_s2am_ard_3-2-1_50JLL_2020-05-01_final
2020-08-29 11:55:15	ga_s2am_ard_3-2-1_50JMR_2020-08-29_final
2020-09-05 11:47:21	ga_s2am_ard_3-2-1_50HPG_2020-09-05_final.stac-item
2020-11-23 12:14:43	ga_s2am_ard_3-2-1_49JGN_2020-11-23_final
2020-12-10 12:04:53	ga_s2am_ard_3-2-1_49JHM_2020-12-10_final
2021-01-06 11:55:47	ga_s2am_ard_3-2-1_50JKP_2021-01-06_final
2021-01-13 11:47:15	ga_s2am_ard_3-2-1_50HLH_2021-01-13_final
2021-01-19 12:05:38	ga_s2am_ard_3-2-1_50JLP_2021-01-19_final
2021-02-22 11:46:25	ga_s2am_ard_3-2-1_50JML_2021-02-22_final
2021-02-22 11:46:33	ga_s2am_ard_3-2-1_50HPK_2021-02-22_final
2021-04-26 11:55:53	ga_s2am_ard_3-2-1_50JLN_2021-04-26_final
2021-08-24 11:56:16	ga_s2am_ard_3-2-1_50JKM_2021-08-24_final
2021-12-02 11:56:07	ga_s2am_ard_3-2-1_50JMM_2021-12-02_final
2021-12-22 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2021-12-22_final
2022-01-28 11:46:08	ga_s2am_ard_3-2-1_50JNM_2022-01-28_final
2022-02-07 11:46:19	ga_s2am_ard_3-2-1_50JPL_2022-02-07_final
2022-02-20 11:56:31	ga_s2am_ard_3-2-1_50HNK_2022-02-20_final
2022-04-18 11:46:41	ga_s2am_ard_3-2-1_50HNK_2022-04-18_final
2022-04-24 12:06:09	ga_s2am_ard_3-2-1_50JLM_2022-04-24_final
2022-05-31 11:56:04	ga_s2am_ard_3-2-1_50JLN_2022-05-31_final
2022-07-30 11:55:51	ga_s2am_ard_3-2-1_50JLP_2022-07-30_final
2022-08-02 12:05:07	ga_s2am_ard_3-2-1_49JHM_2022-08-02_final
2022-12-04 11:46:09	ga_s2am_ard_3-2-1_50JNM_2022-12-04_final.stac-item
2022-12-10 12:05:38	ga_s2am_ard_3-2-1_50JLP_2022-12-10_final.stac-item
2023-02-02 11:46:50	ga_s2am_ard_3-2-1_50HNJ_2023-02-02_final.stac-item
2023-02-05 11:56:06	ga_s2am_ard_3-2-1_50JMM_2023-02-05_final.stac-item
2023-02-12 11:46:32	ga_s2am_ard_3-2-1_50HPK_2023-02-12_final.stac-item
2023-02-21 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2023-02-21_final.stac-item
2023-03-03 12:14:53	ga_s2am_ard_3-2-1_49JGM_2023-03-03_final.stac-item
2023-04-03 11:47:09	ga_s2am_ard_3-2-1_50HMH_2023-04-03_final.stac-item
2023-04-12 12:15:00	ga_s2am_ard_3-2-1_49JFM_2023-04-12_final.stac-item
2023-04-16 11:57:09	ga_s2am_ard_3-2-1_50HLH_2023-04-16_final.stac-item
2023-04-19 12:04:41	ga_s2am_ard_3-2-1_50JKT_2023-04-19_final.stac-item
2023-04-19 12:06:03	ga_s2am_ard_3-2-1_50JLM_2023-04-19_final.stac-item
2023-04-23 11:46:42	ga_s2am_ard_3-2-1_50HQJ_2023-04-23_final.stac-item
2023-04-23 11:47:16	ga_s2am_ard_3-2-1_50HPG_2023-04-23_final.stac-item
2023-05-20 11:36:40	ga_s2am_ard_3-2-1_50HPK_2023-05-20_final.stac-item
2023-09-26 12:05:43	ga_s2am_ard_3-2-1_50JKP_2023-09-26_final.stac-item
2023-10-30 11:46:12	ga_s2am_ard_3-2-1_50JMM_2023-10-30_final.stac-item
2023-12-06 11:36:20	ga_s2am_ard_3-2-1_50JPL_2023-12-06_final.stac-item
2024-02-27 11:46:07	ga_s2am_ard_3-2-1_50JNM_2024-02-27_final.stac-item
2024-03-14 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2024-03-14_final.stac-item
2024-04-07 11:46:28	ga_s2am_ard_3-2-1_50HQK_2024-04-07_final.stac-item
2024-04-20 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2024-04-20_final.stac-item
2024-05-07 11:46:50	ga_s2am_ard_3-2-1_50HPJ_2024-05-07_final.stac-item
2024-05-07 11:47:05	ga_s2am_ard_3-2-1_50HPH_2024-05-07_final.stac-item
2024-05-17 11:47:05	ga_s2am_ard_3-2-1_50HPH_2024-05-17_final.stac-item
2024-05-20 11:55:54	ga_s2am_ard_3-2-1_50JMN_2024-05-20_final.stac-item

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years